System for optimizing routing of communication between devices and resource reallocation in a network

ABSTRACT

Methods, systems, and devices for signal processing and wireless communication are described. For example, a device may include a plurality of antennas operable to transmit and receive communication packets via a plurality of communication protocols and an integrated circuit chip coupled to the plurality of antennas. The integrated circuit chip may comprise a first and a second plurality of processing elements. The first plurality of processing elements may be operable to receive communication packets via a first one of a plurality of communication protocols and process an optimal route. The second plurality of processing elements may be communicatively coupled to the first plurality of processing elements and operable to determine the optimal route to transmit the communication packets from a source device to a destination device based, at least in part, on transmission characteristics associated with at least one of the source or destination devices.

CROSS REFERENCE TO RELATED APPLICATION(S)

This application is a Continuation-in-Part of pending U.S. patentapplication Ser. No. 15/647,676 filed Jul. 12, 2017, which applicationis incorporated herein by reference, in its entirety, for any purpose.

TECHNICAL FIELD

Examples described herein generally relate to optimizing routing ofcommunication between devices and reallocation of processing resourcesin a network based on resource availability, and in particular based onprediction of resource availability.

BACKGROUND OF THE DISCLOSURE

The use of mobile communication devices, such as mobile phones (e.g.,smart phones), tablets, and laptops while on-the-go has become aubiquitous routine in society. As the adaptation of on-the-gocommunication practice becomes more widespread, limitations on thecommunication systems are becoming apparent. For example, during peakcommunication hours where there is increased communication traffic, acellular network might experience sluggishness due to an overlyleveraged communication system or communication across a WiFi hotspotzone may experience significant delays.

As such, it is desirable to have a system and method that optimizesrouting of communication packets or signals between mobile devices in amanner that avoids communication sluggishness across a network.

BRIEF DESCRIPTION OF THE DRAWINGS

Reference will now be made to the attached drawings, when read incombination with the following specification, wherein like referencenumerals refer to like parts throughout the several views, and in which:

FIG. 1 is a block diagram of an integrated circuit chip, according toone illustrated example.

FIG. 2 is a flowchart illustrating a method for processing signals witha single integrated circuit chip, according to one illustrated example.

FIG. 3 is a flowchart illustrating a method for processing signals witha single integrated circuit chip, according to one illustrated example.

FIG. 4 is block diagram of plurality of processing elements andcommunication interfaces, according to one illustrated example.

FIG. 5 is a block diagram of a plurality of processing elements,according to one illustrated example.

FIG. 6 is a block diagram of a processing element, according to oneillustrated example.

FIG. 7 is a block diagram of an integrated circuit chip configured tooptimize routing of communication packets, according to one illustratedexample.

FIG. 8 is a graphical representation of a communication system having aplurality of devices communicatively coupled via a network, according toone illustrated example.

FIG. 9 is a schematic illustration of a wireless communications systemarranged in accordance with aspects of the present disclosure.

FIG. 10 is a schematic illustration of a wireless communications systemarranged in accordance with aspects of the present disclosure.

DETAILED DESCRIPTION

Examples disclosed herein may recognize that a single chip solution forprocessing communications signals provides reduced power consumption anda smaller physical footprint, which may make a single chip solutionpreferable in mobile and/or wireless systems, such as smartphones.Moreover, such single chip solutions may provide increased versatilityby allowing for the dynamic allocation of processing elements to processcommunications signals. Such single chip solutions may also integratetraditional wireless communications bands (e.g., industrial, scientific,and medical radio band) with sub 1-GHz bands that many emerging Internetof Things (IoT) systems may utilize. Stated differently, the single chipsolutions described herein are not limited to certain frequency bandslike traditional systems (e.g., a smartphone being limited to 4Glong-term evolution (LTE), WiFi, and/or Bluetooth®). Instead, examplesof single-chip solutions described herein may integrate thosecommunication technologies with transceivers for IoT systems, such asZ-Wave operating at 900 MHz; radio frequency identification (RFID)systems operating at any of 13.56 MHz, 433 MHz, or 902-928 MHz ranges;and/or even microwave frequencies at 3.1-10 GHz.

In various examples, a processing element with a reconfigurable fabriccan be used to process different protocols, according to the demand of awireless system or an IoT system. For example, hardware and powercomplexity may be reduced when utilizing the reconfigurable fabric spacefor baseband and digital front and processing for any type of analogprocessing system (e.g., different antennas for corresponding frequencybands). In contrast to conventional wireless transceivers and IoT readersystems, the processing capability of each of those receiver systems maybe integrated into the reconfigurable fabric space that can bedynamically shifted for processing of signals from any analog processingsystem. In this shared reconfigurable fabric space application,processing for each receiver system may be allocated to a respectivecluster(s) of processing elements. In such an example, the aggregateprocessing results of each receiver system can be processed in theshared, coherent memory space, before deciding whether to transmit anaggregated processing result via a specific transmitter. For example,using a shared reconfigurable fabric, a processing result derived frommeasurements of an IoT system and information from an LTE system can betransmitted via an RFID system, in some examples, utilizing the sameprocessing element.

FIG. 1 is a block diagram of an integrated circuit chip 102, inaccordance with an example of the present disclosure. The integratedcircuit chip 102 is a single chip capable of processing communicationssignals. Examples of single chip systems include those where circuitryfor performing the described tasks are fabricated on and/or into acommon substrate generally using semiconductor fabrication techniques.The integrated circuit chip 102 includes a plurality of processingelements 104, a network on chip (NOC) 106, a dispatch unit 108, a radiointerface 110, and a cellular interface 112. The integrated circuit chip102 may be coupled to a plurality of antennas 114. The plurality ofantennas 114 may include a first set of antennas 116 and a second set ofantennas 118.

The processing elements 104 may be implemented using one or moreprocessors, for example, having any number of cores. In some examples,the processing elements 104 may include circuitry, including customcircuitry, and/or firmware for performing functions described herein.For example, circuitry can include multiplication unit/accumulationunits for performing the described functions, as described herein.Processing elements 104 can be any type including but not limited to amicroprocessor or a digital signal processor (DSP), or any combinationthereof. For example, processing elements 104 can include levels ofcaching, such as a level one cache and a level two cache, a core, andregisters. An example processor core can include an arithmetic logicunit (ALU), a bit manipulation unit, a multiplication unit, anaccumulation unit, an adder unit, a look-up table unit, a memory look-upunit, or any combination thereof.

The NOC 106 may be implemented as an on-chip communications sub-systemconfigured to facilitate communication between the processing elements104 and the dispatch unit 108. The NOC 106 may include, for example, oneor more links, such as copper wires, connecting the processing elements104 and the dispatch unit 108 and configured to carry information fromthe processing elements 104 to the dispatch unit 108 and vice versa.

The dispatch unit 108 may include instructions sets (e.g., one or moreprogram instructions or operations) to be performed by the processingelements 104. The dispatch unit may include, for example, computersoftware, hardware, firmware, or a combination thereof configured toprovide instruction sets from a storage device to the processingelements 104. For example, the instruction sets may include instructionsto perform certain logic or arithmetic operations on data, transmit datafrom one processing element 104 to another processing element 104, orperform other operations. In some examples, a first processing elementinstruction set may be loaded onto a first processing element 104 andinclude instructions for a processing element to receive a signal of afirst type (e.g., a signal associated with a received radio signal), toprocess the received signal of a first type to generate a set of data,and to transmit the set of data to a second processing element 104. Asecond processing element instruction set may be loaded onto a secondprocessing element 104 and be configured to receive the set of data,process the set of data to generate a second signal of a second type andto transmit the second signal with a plurality of antennas. The dispatchunit 108 may retrieve instructions for the processing elements 104 fromone or more memories, such as a volatile (e.g., dynamic random accessmemory (DRAM)) or non-volatile memory (e.g., Flash memory). Theprocessing element instruction sets may be stored in one or more datastructures, such as a database.

The radio interface 110 may be coupled to the plurality of antennas 114and to one or more of the processing elements 104. The radio interface110 may be configured to receive radio signals detected by the pluralityof antennas 114 and convert the received signals into a signal that canbe manipulated by the one or more processing elements 104 and route theresulting signal to the one or more processing elements. In someexamples, radio interface 110 may include an analog to digitalconverter. In other examples, the radio interface 110 may includeadditional or different components, circuits, etc. Although described asa “radio interface,” in some examples, the interface may generally beadapted to convert a received signal of any type to a signal that can bemanipulated by the processing elements 104. For example, the radiointerface 110 may be configured to receive Wi-Fi signals, opticalsignals, auditory signals, or any other type of signals. In someexamples, the radio interface 110 is configured to receive RFID signalsdetected by the plurality of antennas 114 and to provide the receivedsignals to the one or more processing elements 104.

The cellular interface 112 may be coupled to the plurality of antennas114 and to one or more of the processing elements 104. The cellularinterface 112 may be configured to transmit/receive cellular signalswith the plurality of antennas 114 and convert the signals between asignal that can be manipulated by the one or more processing elements104 and a signal that can be transmitted using the plurality of antennas114. In some examples, cellular interface 112 may include a digital toanalog converter. In other examples, the cellular interface 112 mayinclude additional or different components, circuits, etc. Althoughdescribed as a “cellular interface,” in some examples, the interface maygenerally be adapted to any type of signal. A cellular signal maygenerally refer to any protocol of cellular signal, such as 3G, 4G, 4GLTE, 5G, etc. The cellular interface 112 may be configured to transmitWi-Fi signals, optical signals, auditory signals, or any other type ofsignals. In some examples, the cellular interface 112 is configured totransmit a different type of signal than the radio interface 110.

The plurality of antennas 114 is configured to receive and transmitwireless signals. The plurality of antennas 114 may generally be anytype of antennas, such as a wire antenna (e.g., a dipole antenna, a loopantenna, a monopole antenna, a helix antenna, etc.), an aperture antenna(e.g., a waveguide, a horn antenna, etc.), a reflector antenna (e.g., aparabolic reflector, a corner reflector, etc.), a lens antenna (e.g., aconvex-plane, a concave-plane, a convex-convex, or a concave-concave), amicrostrip antenna (e.g., a circular shaped, rectangular shaped,metallic patch, etc.), an array antenna (e.g., a Yagi-Uda antenna, amicro strip patch array, an aperture array, a slotted wave guide array,etc.), or combinations thereof.

In the example of FIG. 1, the plurality of antennas 114 includes a firstsubset of antennas 116 configured to receive radio signals and tocommunicate the received signals to the radio interface 110. Theplurality of antennas 114 further includes a second subset of antennas118 configured to communicate over a cellular network. The second subsetof antennas 118 may receive signals from the cellular interface 112 andtransmit the received signals to one or more cellular nodes (not shown),such as a cellular tower. In various examples, the plurality of antennas114 may be configurable. For example, antennas in the plurality ofantennas 114 may be adjustable to receive and/or transmit signals ofdifferent types. In such examples, the first subset of antennas 116 andthe second subset of antennas 118 may be the same antennas. For example,the first subset of antennas 116 may be configured to receive radiosignals, such as an RFID signal and to communicate the received radiosignal to the processing elements 104 via the radio interface 110. Thefirst subset of antennas 116 may be reconfigured to communicate using acellular network as the second subset of antennas 118. For example, theplurality of antennas 118 may include or be coupled to an integratedinner mechanism, such as RF switches, varactors, mechanical actuators,or tunable materials, that enable the intentional redistribution ofcurrents over the surface of the antenna to produce modifications of itsproperties. The processing elements 104 may process the received radiosignals according to the instruction sets fetched by the dispatch unit108 and communicate a resulting cellular signal to the second subset ofantennas 118 via the cellular interface 112. The second subset ofantennas 118 may then communicate the received signals via a cellularnetwork.

FIG. 2 is a flowchart illustrating a method of processing signals with asingle integrated circuit chip, in accordance with an example of thepresent disclosure.

In operation 202, a first signal of a first type is received with aplurality of antennas. The signal may be received, for example, with theplurality of antennas 114, and specifically with the first subset ofantennas 116. In various examples, the first signal of the first typemay be a radio signal associated with an RFID device. The first subsetof antennas 114 may employ beam forming to detect one or more firstsignals of the first type. Beamforming is a signal processing techniquethat enables directional signal transmission or reception. Beamformingtypically uses a phased antenna array in such a way that signals atparticular angles experience constructive interference while signals atother angles experience destructive interference.

In operation 204, the first signal of the first type is provided to afirst set of processing elements. For example, the first subset ofantennas 116 may provide the received first signal of the first type toone or more of the processing elements 104 via the radio interface 110.The particular processing element(s) 104 to which the first signal ofthe first type is provided may be determined, for example, by theinstructions sets provided by the dispatch unit 108.

In operation 206, the first signal of the first type is processed togenerate a set of data. For example, the one or more processing elements104 may process the received first signal to generate a particular setof data. The set of data may generally be any type of data. For example,the set of data may include location information for one or more devicesthat transmitted the first signal of the first type. In one example, anRFID device emits a radio signal. The radio signal is detected by thefirst subset of antennas 116. The one or more processing elements 104may process the received signals based on known beamforming orinterferometry properties of the first subset of antennas 116 to derivelocation information about the one or more RFID devices.

In operation 208, the set of data may be transmitted to a second set ofprocessing elements. For example, the first set of processing elements104 may transmit the set of data to a second set of processing elements104. The particular processing elements 104 included in the second setmay be identified by the processing element instruction set(s) beingexecuted by the first set of processing elements 104. For example, theprocessing element instruction set may include address information forthe second set of processing elements 104. Once the first set ofprocessing elements 104 generates the set of data, the processingelement instruction set may instruct the first set of processingelements 104 to transmit the set of data to a switch. The switch maythen transmit the set of data to the second set of processing elements104.

In operation 210, the set of data may be processed to generate a secondsignal of a second type. For example, the set of data may be formattedfor transmission according to a communications protocol P correspondingto the second type of signal. The communications protocol P may, forexample, be a cellular communications protocol P_(cell), such as 3G, 4G,or 5G. In other examples, the communications protocol P may be Wi-Fiprotocol P_(WiFi), Bluetooth® protocol P_(IoT), or any other type ofcommunication protocol P.

In operation 212, the second signal of the second type is transmittedwith the plurality of antennas. For example, the second set ofprocessing elements 104 may transmit the second signal of the secondtype to the plurality of antennas 114 and specifically to the secondsubset of antennas 114 via the cellular interface 112. The second subsetof antennas 118 may transmit the second signal of the second type to acellular tower for example, or in the case of Wi-Fi, to a Wi-Fi node,such as a router.

FIG. 3 is a flow chart illustrating a method of processing signals witha single integrated circuit chip, in accordance with an example of thepresent disclosure.

In operation 302, a first instruction set is loaded to a first set ofprocessing elements. For example, an instruction set of the processingelements loaded by the dispatch unit 108 may be transferred to a firstset of processing elements 104 via the NOC 106. The first set ofprocessing elements 104 may process data according to the received firstinstruction set.

In operation 304, a second instruction set is loaded to a second set ofprocessing elements. For example, an instruction set of the processingelements 104 loaded by the dispatch unit 108 may be transferred to asecond set of the processing elements 104, different from the first setof processing elements 104 in operation 302, via the NOC 106. The secondset of processing elements 104 may process data according to thereceived second instruction set. The second instruction set maygenerally include any types of instructions. In one example, the secondinstruction set includes instructions to convert received signals from afirst format (e.g., signal type or communications protocol) to a secondformat. For example, the second instruction set may include instructionsto convert a signal from an RFID format to a format that can becommunicated via cellular or WiFi network.

In operation 306, a signal of a first type is received from a pluralityof antennas. For example, the plurality of antennas 114 may detect oneor more signals of a first type, such as a radio frequency signal (e.g.,and RFID signal). In one example, the signal of the first type may bereceived by the first set of antennas 116.

In operation 308, the signal of the first type is routed to the firstset of processing elements. For example, the plurality of antennas 114may transfer the received signal of the first type to the radiointerface 110. The radio interface 110 may transfer the signal of thefirst type to the first set of processing elements. As discussed above,the radio interface 110 may include various circuits, such as analog todigital converters, etc.

In operation 310, the signal of the first type is processed based on thefirst instruction set. For example, the first set of processing elements104, into which the first instruction sets were loaded in operation 302,may process the received signal of the first type in accordance with thefirst instruction set. For example, the first instruction set mayinclude processing instructions to determine a location of one or moresources of the signals of the first type. However, those skilled in theart will appreciate that any series of instructions may be executed bythe first set of processing elements 104.

In operation 312, the processed signal is routed to a second set ofprocessing elements. For example, the first instruction set loaded intothe first set of processing elements 104 may include instructions totransfer the processed signal of the first type to the second set ofprocessing elements 104 into which the second instruction set was loadedin operation 304. Specifically, the first set of processing elements 104may transfer the processed signal to one or more switches along with aninstruction to transmit the signal to the particular processing elements104 executing the second instruction set. The one or more switches maythen transfer the processed signal to the second set of processingelements 104.

In operation 314, the signal is processed based on the secondinstruction set. For example, the second set of processing elements 104,into which the second instruction set was loaded in operation 304, mayprocess signals received in operation 312 to generate signals of asecond type. As a specific example, the second set of processingelements may convert received signals into a format that can betransmitted via a cellular network or a WiFi network. Such processingmay include, for example, converting the received signals into datapackets of information for transmission.

In operation 316, the signal is routed to the plurality of antennas. Forexample, the second set of processing elements 104 may transmit theprocessed signal to the cellular interface 112. As discussed above, thecellular interface 112 may include various circuits, such as an analogto digital converter. The cellular interface 112 may provide the signalof the second type to the plurality of antennas 114. In a specificexample, the cellular interface 112 may provide the signal of the secondtype to the second set of antennas 118. In various examples, the secondset of antennas 118 may be the same antennas as the first set ofantennas 116 on which the signal of the first type was received inoperation 306.

In operation 318, the signal of the second type is transmitted via theplurality of antennas.

FIG. 4 is a block diagram of plurality of clusters 406 of processingelements 104, a radio interface 110, a cellular interface 112, and anIoT interface 400, in accordance with an example of the presentdisclosure. The clusters 406 of processing elements 104, the radiointerface 110, and the cellular interface 112 may be implemented asdescribed above with respect to FIG. 1. Similarly to the radio andcellular interfaces 110, 112 described above, the IoT interface 400 maybe coupled to the plurality of antennas 114 and to the one or more ofthe processing elements 104. The IoT interface 400 may be configured totransmit and/or receive communication packets or signals at a sub 1-GHzband (i.e., IoT band) via the plurality of antennas 114. The receivedcommunication packets at the IoT frequency band may be converted by theIoT interface into a signal or communication packets that may bemanipulated by the one or more processing elements 104 and route theresulting signal to the one or more processing elements 104.

As shown in FIG. 4, some of the clusters 406 may be grouped into one ormore sets. For example, a first number of clusters 406 may be groupedinto a first set 402 and a second number of clusters 406 may be groupedinto a second set 404. Each of the clusters 406 in the first set 402 maybe coupled to the radio interface 110, and the radio interface may routereceived signals to the clusters 406 in the first set 402. Each of theprocessing elements 104 in the clusters 406 may have a first instructionset loaded thereon and may process signals received from the radiointerface 110 according to the first instruction set. The clusters 406of the first set 402 may transmit processed signals to the clusters 406of the second set 404 via one or more switches. Each of the processingelements 104 of the clusters 406 of the second set 404 may have a secondinstruction set loaded thereon and process the received signalsaccording to the second instruction set to generate signals of a secondtype. The clusters 406 of the second set 404 may be coupled to thecellular interface 112 and may transfer the signals of the second typeto the cellular interface 112 to be transmitted via a plurality ofantennas (not shown).

Although each of the first set 402 and the second set 404 are shown asincluding nine clusters 406, greater or fewer clusters 406 may bedynamically added or subtracted from the first set 402 and/or the secondset 404 based on system demands or signaling volumes. For example, ifthe number of radio signals received by the antennas and transmitted tothe radio interface 110 increases, additional clusters 406 may be addedto the first set 402 to handle the increased processing load.

Furthermore, additional sets of clusters 406 may be included within thereconfigurable fabric. For example, a third and fourth number ofclusters 406 may be grouped into a third set of clusters 410 and fourthset of clusters 415. The third set of clusters 410 may correspond with apacket module 710, while the fourth set of clusters 415 may correspondwith a routing module 715. Both the packet module 710 and the routingmodule 715 will be described in detail herein.

FIG. 5 is a block diagram of a plurality of clusters 406 coupled througha switch 502, in accordance with an example of the present disclosure.In the example of FIG. 5, each cluster 406 includes four processingelements 104. Each processing element 104 of a given cluster 406 maycommunicate directly with another processing element 104 within thatsame cluster 406. For example, each of the processing elements PE0-3 candirectly communicate with one another. Similarly, processing elementsPE4-7 can communicate directly, as can processing elements PE8-II andPE12-15. Processing elements 104 of different clusters 406 maycommunicate with one another via a switch 502 based on instructions inwhatever instruction set is loaded for a given processing element 104.For example, the processing element PE14 may transmit a signal to theswitch 502 with an instruction that the signal should be routed to theprocessing element PE1. The switch may route the signal directly to theprocessing element PE1 or the switch may route the signal to anotherprocessing element in the same cluster as PE1 (i.e., processing elementsPE0, PE2, or PE3), which then route the received signal to processingelement PE1. By linking clusters of processing elements together in thismanner, greater or fewer clusters 406 may be added simply by changingthe instruction sets that are loaded for a set of processing elements.

FIG. 6 is a block diagram of a processing element 104, in accordancewith an example of the present disclosure. The processing element 104generally includes a processor 602 coupled to an instruction memory 604,a data memory 606, a direct memory access controller 608, and a switch610.

The processor 602 may include, for example, a number of processingcores. In some examples, the processor 602 may include circuitry,including custom circuitry, and/or firmware for performing functionsdescribed herein. For example, circuitry can include multiplicationunits/accumulation units for performing operations described herein. Theprocessor 602 may be, for example, a microprocessor or a digital signalprocessor (DSP), or any combination thereof. An example processor corecan include an arithmetic logic unit (ALU), a bit manipulation unit, amultiplication unit, an accumulation unit, an adder unit, a look-uptable unit, a memory look-up unit, or any combination thereof. Theinstruction memory 604 is a memory device configured to store aprocessing element instruction set. The instruction memory 604 maygenerally be any type of memory. For example, the instruction memory 604may be a volatile memory, such as dynamic random access memory, ornon-volatile memory, such as flash memory. The data memory 606 is amemory device configured to store received data, such as the dataincluded in the signals received and/or transmitted from the pluralityof antennas 114. The data memory 606 may generally be any type ofmemory. For example, the data memory 606 may be a volatile memory, suchas dynamic random access memory, or non-volatile memory, such as flashmemory. The direct memory access controller 608 includes controlcircuitry for the processor 602 to access the instruction memory 604 andthe data memory 606. The switch 610 routes data from one processingelement 104 to another processing element 104. For example, the switch610 may route data from one processing element 104 to another processingelement 104 within a single cluster 406. The switch may generally be anytype of switching fabric.

In operation, a processing element instruction set may be loaded intoand stored in the instruction memory 604. Data in the form of thereceived signals are stored in the data memory 606. The processor 602processes the data in the data memory 606 in accordance with theprocessing element instruction set stored in the instruction memory 604.For example, the processor 602 may perform arithmetic operations,convert the data from one format to another, or perform any other typeof operations. The direct memory access controller 608 may controlaccess of the processor 602 to the instruction memory 604 and/or thedata memory 606. The processor 602 may transfer processed data to one ormore other processing elements 104 via the switch 610.

FIG. 7 shows a block diagram of the communication device 700 having anintegrated circuit chip 702 and a plurality of antennas 705 embeddedtherein, while FIG. 8 shows a graphical representation of acommunication system 800 having a plurality of communication devices 805communicatively coupled via a network 810, according to one illustratedexample. Reference will now be made to both FIGS. 7 and 8.

The integrated circuit chip 702 is configured to optimize routing ofcommunication packets or signals from a source device 805A to adestination device 805B via one or more of the plurality ofcommunication devices 805 through the network 810, as illustrated inFIG. 8. The network 810 may be configured to provide a plurality ofcommunication paths 815A, 815B, 815C (collectively referenced 815) toroute the communication packets or signals via a plurality ofcommunication protocols P_(cell), P_(WiFi), P_(IoT) (collectivelyreferenced P). The plurality of communication paths 815 include datatransmission paths between one or more of the plurality of devices 805via one or more of the plurality of communication protocols P. Thenetwork 810 may, for example, take the form of one or more cellular,WiFi, and IoT (e.g., Bluetooth, ZIGBEE) networks operable to transmitsignals or communication packets via one or more of the plurality ofcommunication protocols. The network 810 may be a Local Area Network(LAN) or Wide Area Network (WAN).

The plurality of communication devices 805 may, for example, includemobile phones, tablets, smart phones, personal computers, and laptops,to name a few. The plurality of antennas 705 are operable to transmitand receive the communication signals via a plurality of communicationprotocols, such as cellular, 4G LTE, 5G, WiFi, BLUETOOTH, and ZIGBEE toname a few. The plurality of antennas 705 may be communicatively coupledto a plurality of interfaces 707. The plurality of interfaces 707 mayinclude an analog to digital converter to convert the receivedcommunication signal via the plurality of antennas 705 into thecommunication packets that can be processed within the integratedcircuit chip 702. Furthermore, the plurality of interfaces 707 may alsoinclude a digital to analog converter to convert the processed pluralityof communication packets into an analog signal for transmission via theplurality of antennas 705.

In one example, the plurality of antennas 705 comprise various sets ofantennas 705 a, 705 b, 705 c where each of the sets receivecommunication signals via different ones of the plurality ofcommunication protocols P. The plurality of antennas 705 are operable totransmit and receive the communication packets or signals via theplurality of communication protocols P.

In one example, first, second and third sets of antennas 705 a, 705 b,705 c, are respectively coupled to first, second, and third interfaces707 a, 707 b, 707 c. Each of the first, second, and third interfaces mayconvert the signals received via defined ones of the plurality ofprotocols. For example the first interface may be a cellular interface,the second interface may be a radio interface, and a third interface maybe an IoT interface. In other words, the first interface 707 a may beconfigured to convert signals received via a cellular protocol, thesecond interface 707 b may convert signals received via the radioprotocol, and the third interface 707 c may convert signals received viaone of the IoT protocols. It will be appreciated by those of ordinaryskill in the art that the communication device 700 may employ a singleset of antennas 705 coupled to a single interface 707, where signalsreceived via any one of the plurality of protocols may be converted bythe interface 707 for processing by the integrated circuit chip 702.

Similarly to the FIG. 1 description, the integrated circuit chip 702 maybe a single chip capable of processing the plurality of communicationpackets or signals. Examples of single chip systems include those wherecircuitry for performing the described tasks are fabricated on and/orinto a common substrate generally using semiconductor fabricationtechniques. The integrated circuit chip 702 comprises a packet module710, a routing module 715 communicatively coupled to a machine learningmodule 720, and an application layer 725.

The packet module 710 comprises a first plurality of processing elements104 (or a third set of clusters 410) operable to receive thecommunication packets via a first one of the plurality of communicationprotocols P and process an optimal route to transmit the communicationpackets from the source device 805A to the destination device 805B viathe network 810. As will be described in more detail herein, the optimalroute may be one or more of the communication paths 815 through the oneor more devices 805 that results in an optimized transmission of thecommunication packets or signals. The packet module 710 may detecttransmission of the communication packets from the source device 805Aintended for the destination device 805B, and process a re-route of thetransmitted communication packets or signal to the destination device805 via the optimal route of the plurality of communication paths 815.In particular, the optimal route includes the one or more of thecommunication paths 815 via one or more of the plurality ofcommunication protocols P. For example, the optimal route between thesource device 805A and the destination device 805B may be through thecommunication paths 815A and 815C via a cellular protocol P_(cell) andthen through communication paths 815C and 815B via a WiFi protocolP_(WiFi).

The routing module 715 comprises a second plurality of processingelements 104 (or a fourth set of clusters 415) communicatively coupledto the first plurality of processing elements 104 of the packet module710. The routing module 715 is operable to determine the optimal routeto re-route the transmitted communication packets or signal from thesource device 805A to the destination device 805B based on transmissioncharacteristics associated with the plurality of devices 805. Thetransmission characteristics include at least one of availability ofprocessing resources and telemetry information associated withrespective ones of the plurality of devices 805.

The availability of processing resources associated with respective onesof the plurality of devices 805 may refer to a percentage of processingelements 104 available for respective ones of the plurality ofcommunication protocols P. The processing resources include respectiveones of the plurality of processing elements 104 associated withrespective ones of the plurality of communication protocols P. Asdiscussed above, the integrated circuit chip 702 includes the sets ofclusters 406 having processing elements 104 therein. Each of theprocessing elements 104 in the clusters 406 may have instructions loadedthereon and process received signals or communication packets accordingto those instructions. For example, in each of the plurality of devices805, a portion of the plurality of processing elements 104 may beinstructed to process signals via a first one of the plurality ofcommunication protocols P_(cell), while another portion of the pluralityof processing elements 104 may be instructed to process signals via asecond one of the plurality of communication protocols P_(WiFi). Inother words, a defined percentage of the plurality of processingelements 104 on respective ones of the plurality of devices 805 may beallocated for a particular communication protocol P. As such, as devicescommunicate in real-time via various ones of the communication protocolsP, availability of the processing resources may decrease. Theavailability of processing resources is an indication of whethertransmission of signals or communication packets via particularcommunication protocols P and communication devices 805 may be delayedor interrupted.

The telemetry information may include at least one of velocity,direction of movement, or geographic location of respective ones of theplurality of devices 805. For example, as will be described in moredetail herein, the destination device 805B may be moving outside a WiFizone while the source device 805A attempts to transmit the signal orcommunication packets. The routing module 715 of at least one of theplurality of devices 805 may re-route the transmitted signal via thecellular protocols P_(cell) and across the communication paths 815A and815B to prevent disconnect while leveraging communication via the WiFiprotocol. It will be appreciated by those of ordinary skill in the artthat this is merely one example, and any other combination ofcommunication paths 815, devices 805, and communication protocols P arewithin the scope of examples of the disclosure. The routing module 715may receive telemetry information and resource availability informationfrom each of the plurality of devices 805. The receipt of suchinformation at the routing module 715 may occur in real-time or close toreal-time. This information may be shared with the machine learningmodule 720 to allow of communication trends to more accurately predict alikelihood of resource availability for each of the plurality of devices805, as well as determine efficient re-allocation of processingresources to better handle future communication requests.

The routing module 715 is communicatively coupled to a machine learningmodule 720. The machine learning module 720 may be located within therouting module 715, embedded within the integrated circuit chip 702, orlocated remote from the integrated circuit chip 702. For example, themachine learning module 720 may be located in the cloud to offloadprocessing power from the integrated circuit chip 702. It will beappreciated by those of ordinary skill in the art, the machine learningmodule 720 may be located anywhere. Additionally, the machine learningmodule may be communicatively coupled to the routing module 715 embeddedwithin each one of the plurality of communication devices 805.Alternatively, the machine learning module 720 may be communicativelycoupled with only one of the plurality of devices 805 that is inhierarchical control of remaining ones of the plurality of devices 805in the system 800.

The machine learning module 720 is operable to calculate the optimalroute to re-route the transmitted communication packets or signal basedon historic transmission characteristics associated with the pluralityof communication devices 805. The historic transmission characteristicsof the plurality of communication devices 805 allows the machinelearning module 720 to extrapolate a likelihood that one or more of theplurality of communication devices 805 will have particular transmissioncharacteristic in a future time. Based on the likelihood determination,the routing module 715 calculates the optimal route and instructs thepacket module 710 accordingly. The optimal route may be based on atleast one of the anticipated amount of available processing resourcesand telemetry information for respective devices 805 in the near future.The optimal route to re-route the transmitted communication packets orsignal includes one or more of the communication paths 815 between oneor more of the plurality of devices 805 via one or more of the pluralityof communication protocols P.

Consequently, the routing module 715 leverages both the real-time (ornear real-time) and anticipated resource determination when instructingthe packet module 710 to route the communication packets or signal.

The following are a few example examples implementing the routeoptimization and resource allocation as described above. These are notmeant to be an exhaustive listing of examples but a mere sampling tohighlight the above-described optimization scheme.

In one example, the system 800 is configured to determine a single oneof the plurality of devices 805 that will have hierarchical control overremaining ones of the devices 805. For example, the device 805C may bein hierarchical control (“control device”) over the source device 805Aand the destination device 805B. The control device 805C may obtainhierarchical control in an ad hoc manner or as part of a hierarchicalnetwork. The ad hoc determination of the control device 805C may be inresponse to a contention algorithm where the control device 805Cestablishes control over the devices 805A and 805B. Alternatively, thesystem 800 may employ the hierarchical network configuration where thecontrol device 805C is dedicated as the hierarchical control over theother devices 805A, 805B in the system 800.

In a first example, the source device 805A transmits communicationpackets or signals to the destination device 805B via a firstcommunication protocol P_(cell) (e.g., cellular) at a same time eachday. The destination device 805B may consistently travels through a sameWiFi zone at that time. Additionally, a user of the destination device805B may typically be downloading data on the device 805B via the firstcommunication protocol P_(cell) at the same time each day whiletraversing between WiFi and non-WiFi zones. The machine learning module720 may learn the transmission characteristics associated with thedevices 805A and 805B, namely that the source device 805A transmits thesignal via the first communication protocol P_(cell) and that thedestination device 805B travels through a WiFi zone at the same timeeach day while the destination device 805B downloads data via the firstcommunication protocol (e.g., 4G LTE). Consequently, the routing module715 may instruct the packet module 710 to specifically re-route thecommunication packets from the source device 805A to the destinationdevice 805B to create efficient or optimized communications. Inparticular, the source device 805A may transmit the communicationpackets via the first communication protocol P_(cell) to the controldevice 805C, and then the control device 805C may transmit thecommunication packets to the destination device 805B via a secondcommunication protocol P_(WiFi) (e.g., WiFi communication). As such, theoptimal route processed by the routing module and implemented by thepacket module allows for leveraging one or more of the devices 805 toefficiently use available processing resources.

In a second example, the control device 805C may be leveraged toreallocate processing resources for each of the plurality of devices 805based on the transmission characteristics as determined in real-time (orclose to real-time) and as predicted in the future. For example, throughthe machine learning module 720, the control device 805C may learn thata majority of the plurality of devices 805 leverage the processingresources for downloading streaming media content at a particular timeof a day. Consequently, those ones of the plurality of devices 805 mayhave a majority of the plurality of processing elements 104 re-allocatedto WiFi or IoT protocols during the particular time of the day. Thiswould allow for an efficient use of the existing amount of processingresources on the integrated circuit chip 702.

Alternatively and/or additionally, rather than relying on a single oneof the plurality of devices 805 to serve as the control device 805C,each one of the plurality of devices 805 may be configured to leverageits own reallocation of processing resources based on monitoring its ownusage.

As a third example, the source device 805A may have its processingresources allocated to the first communication protocol P_(cell) (e.g.,cellular) and the second communication protocol P_(WiFi) (e.g., WiFi).On the other hand, the destination device 805B may have processingresources allocated to the second communication protocol P_(WiFi) andthe third communication protocol P_(IoT) (e.g., Zigbee, RFID,Bluetooth). The routing module 715 of the control device 805C or of anyother of the plurality of devices 805 may determine the distance betweenthe source and destination devices 805A, 805B is great and/or the WiFinetwork connection therebetween is clogged. In response to suchdetermination, the routing module 715 may instruct the packet module 710to re-route the communication packets through the communication paths815A and 815C via the first communication protocol P_(cell) to thecontrol device 805C. Then the control device 805C may transmit thereceived communication packets along the communication paths 815C and815B via the third communication protocol P_(IoT) to the destinationdevice 805B. In other words, the routing module 715 may determine acommon communication protocol P between respective ones of the pluralityof devices 805 to transmit the communication packets or signals. Thecommon communication protocol P selected may be one that has sufficientprocessing resources available therewith.

In another example, the machine learning module 720 may be operable toprioritize routing the signals or communication packets between theplurality of devices 805. In particular, the machine learning module 720may determine priority based on historical bandwidth consumptionassociated with a specific type of data transmission. For example,streaming media transmission may have a higher priority than a cellulartransmission, while the cellular transmission may have a higher prioritythan asynchronous text-messaging communication. It will be appreciatedby those of ordinary skill in the art that priority ranking of varioustypes of communication may be set according to any desired ranking.Additionally, the particular ranking of communication types may, forexample, vary based on various factors such as, for example, time, day,location, weather patterns, etc.

Alternatively and/or additionally, the routing module 715 may determineprioritization of routes based, at least in part, on a defined userhierarchy associated with each of the plurality of devices 805. Forexample, if the source device 805A or the destination device 805B isowned by a President of a company, the President's device 805A, 805B mayhave a higher priority over devices 805 used by employees of thecompany. In other words, the communication packets or signals routed toor from the President's device 805 may be allocated a faster route (orpriority route) than the route allocated to communication packets orsignals transmitted to/from the employees' devices 805.

Furthermore, the routing module 715 may single out a specificcommunication as highest priority level for routing, regardless of thedefined user hierarchy associated with respective ones of the pluralityof devices 805 or bandwidth considerations. For example, the routingmodule 715 may allocate emergency communications (e.g., 9-1-1 calls or9-1-1 text messaging) as highest priority communication. It will beappreciated by those of ordinary skill in the art, the routing module715 may single out and allocate any other communication as highestpriority such as, for example, calls originating from a child's schoolor a child's caretaker.

Prioritizing routes refers to allocating transmission of the signals orcommunication packets through various communication paths 815 andprotocols to achieve a speedy communication between the source anddestination devices 805A, 805B via the network 810. The prioritizedroutes may entail real-time communication without substantialcommunication delay. A high priority communication may be allocated afast communication route between the source and destination devices805A, 805B, while a low priority communication may be allocated a slowercommunication route between the source and destination devices 805A,805B. As mentioned above, the control device 805C may receive thecommunication packets transmitted from the source device 805A intendedfor the destination device 805B. For example, if the plurality ofdevices 805 comprise more than one pair of source-destination devices805A, 805B, the control device 805C may prioritize which ones of thesource-destination device 805A, 805B pairs will have priority over theother. In other words, the control device 805C may allocate a fastercommunication path for a first one of the source-destination device805A, 805B pairs and a slower communication path for a second one of thesource-destination device 805A, 805B pairs. In particular, thisallocation of priority may be determined in response to the controldevice 805C detecting at least one of the type of communication packetsreceived at the packet module 710, the bandwidth consumption associatedwith the communication packets or signal as determined by the machinelearning module 720, the origin of transmitted communication packets orsignal, or the defined user hierarchy associated with the destinationand/or source devices 805A, 805B.

Based on the control device's 805C detection, the routing module 715will determine the one or more communication paths 815 through the oneor more devices 805 that results in a transmission speed in-line withthe determined priority level of the communication.

Having described some examples of the disclosure, additional exampleswill become apparent to those skilled in the art to which it pertains.Specifically, although reference was made throughout the specificationand drawings to three communication devices (i.e., source, destination,and control devices), it will be appreciated that the system and methodsdescribed herein are applicable to examples having any number ofcommunication devices. The example of three communication devices wasdescribed merely to readily convey and describe various aspects ofre-routing communication packets to optimize the communication betweendevices, and was not intended to limit the system in any way. Forexample, the routing module may instruct re-routing of the communicationpackets or signals from the source device to the destination devicesthrough the control device and any other communication device within thenetwork. Alternatively, the re-routed communication packets may berouted through any of the plurality of devices and not through thecontrol device.

The control device may be any one of the plurality of devices 805, orembedded within a base station. Additionally, each of the plurality ofcommunication devices 805 may have a routing module coupled to a machinelearning module where the routing module communicates with other routingmodules of the plurality of devices. As such, each of the plurality ofdevices 805 may serve as its own control device to coordinate andprocess optimized routing of communication packets or signalstherebetween without requiring a central control device.

The term “communication packets” and “signal” have been usedinterchangeably herein and both refer to data that is communicatedbetween communication devices. The “communication packets” may refer toa digitized format of data while “signals” may refer to an analog formof data. Examples described herein are applicable to all forms of data.

The terms “communication devices” and “devices” have been usedinterchangeably herein. The plurality of devices 805 may, for example,be mobile communication devices.

FIG. 9 illustrates an example of a wireless communications system 900 inaccordance with aspects of the present disclosure. The wirelesscommunications system 900 includes a base station 910, a mobile device915, a drone 917, a small cell 930, and vehicles 940, 945. The basestation 910 and small cell 930 may be connected to a network thatprovides access to the Internet and traditional communication links. Thesystem 900 may facilitate a wide-range of wireless communicationsconnections in a 5G system that may include various frequency bands,including but not limited to: a sub-6 GHz band (e.g., 700 MHzcommunication frequency), mid-range communication bands (e.g., 2.4 GHz),and mmWave bands (e.g., 24 GHz). Additionally or alternatively, thewireless communications connections may support various modulationschemes, including but not limited to: filter bank multi-carrier (FBMC),the generalized frequency division multiplexing (GFDM), universalfiltered multi-carrier (UFMC) transmission, bi-orthogonal frequencydivision multiplexing (BFDM), sparse code multiple access (SCMA),non-orthogonal multiple access (NOMA), multi-user shared access (MUSA),and faster-than-Nyquist (FTN) signaling with time-frequency packing.Such frequency bands and modulation techniques may be a part of astandards framework, such as Long Term Evolution (LTE) or othertechnical specification published by an organization like 3GPP or IEEE,which may include various specifications for subcarrier frequencyranges, a number of subcarriers, uplink/downlink transmission speeds,TDD/FDD, and/or other aspects of wireless communication protocols.

The system 900 may depict aspects of a radio access network (RAN), andsystem 900 may be in communication with or include a core network (notshown). The core network may include one or more serving gateways,mobility management entities, home subscriber servers, and packet datagateways. The core network may facilitate user and control plane linksto mobile devices via the RAN, and it may be an interface to an externalnetwork (e.g., the Internet). Base stations 910, communication devices920, and small cells 930 may be coupled with the core network or withone another, or both, via wired or wireless backhaul links (e.g., Siinterface, X2 interface, etc.).

The system 900 may provide communication links connected to devices or“things,” such as sensor devices, e.g., solar cells 937, to provide anInternet of Things (“IoT”) framework. Connected things within the IoTmay operate within frequency bands licensed to and controlled bycellular network service providers, or such devices or things may. Suchfrequency bands and operation may be referred to as narrowband IoT(NB-IoT) because the frequency bands allocated for IoT operation may besmall or narrow relative to the overall system bandwidth. Frequencybands allocated for NB-IoT may have bandwidths of 1, 5, 10, or 20 MHz,for example.

Additionally or alternatively, the IoT may include devices or thingsoperating at different frequencies than traditional cellular technologyto facilitate use of the wireless spectrum. For example, an IoTframework may allow multiple devices in system 900 to operate at a sub-6GHz band or other industrial, scientific, and medical (ISM) radio bandswhere devices may operate on a shared spectrum for unlicensed uses. Thesub-6 GHz band may also be characterized as and may also becharacterized as an NB-IoT band. For example, in operating at lowfrequency ranges, devices providing sensor data for “things,” such assolar cells 937, may utilize less energy, resulting in power-efficiencyand may utilize less complex signaling frameworks, such that devices maytransmit asynchronously on that sub-6 GHz band. The sub-6 GHz band maysupport a wide variety of uses case, including the communication ofsensor data from various sensors devices. Examples of sensor devicesinclude sensors for detecting energy, heat, light, vibration, biologicalsignals (e.g., pulse, EEG, EKG, heart rate, respiratory rate, bloodpressure), distance, speed, acceleration, or combinations thereof.Sensor devices may be deployed on buildings, individuals, and/or inother locations in the environment. The sensor devices may communicatewith one another and with computing systems which may aggregate and/oranalyze the data provided from one or multiple sensor devices in theenvironment.

In such a 5G framework, devices may perform functionalities performed bybase stations in other mobile networks (e.g., UMTS or LTE), such asforming a connection or managing mobility operations between nodes(e.g., handoff or reselection). For example, mobile device 915 mayreceive sensor data from the user utilizing the mobile device 915, suchas blood pressure data, and may transmit that sensor data on anarrowband IoT frequency band to base station 910. In such an example,some parameters for the determination by the mobile device 915 mayinclude availability of licensed spectrum, availability of unlicensedspectrum, and/or time-sensitive nature of sensor data. Continuing in theexample, mobile device 915 may transmit the blood pressure data becausea narrowband IoT band is available and can transmit the sensor dataquickly, identifying a time-sensitive component to the blood pressure(e.g., if the blood pressure measurement is dangerously high or low,such as systolic blood pressure is three standard deviations from norm).

Additionally or alternatively, mobile device 915 may formdevice-to-device (D2D) connections with other mobile devices or otherelements of the system 900. For example, the mobile device 915 may formRFID, WiFi, MultiFire, Bluetooth, or Zigbee connections with otherdevices, including communication device 920 or vehicle 945. In someexamples, D2D connections may be made using licensed spectrum bands, andsuch connections may be managed by a cellular network or serviceprovider. Accordingly, while the above example was described in thecontext of narrowband IoT, it can be appreciated that otherdevice-to-device connections may be utilized by mobile device 915 toprovide information (e.g., sensor data) collected on different frequencybands than a frequency band determined by mobile device 915 fortransmission of that information.

Moreover, some communication devices may facilitate ad-hoc networks, forexample, a network being formed with communication devices 920 attachedto stationary objects (e.g., lampposts in FIG. 5) and the vehicles 940,945, without a traditional connection to a base station 910 and/or acore network necessarily being formed. Other stationary objects may beused to support communication devices 920, such as, but not limited to,trees, plants, posts, buildings, blimps, dirigibles, balloons, streetsigns, mailboxes, or combinations thereof. In such a system 900,communication devices 920 and small cell 930 (e.g., a small cell,femtocell, WLAN access point, cellular hotspot, etc.) may be mountedupon or adhered to another structure, such as lampposts and buildings tofacilitate the formation of ad-hoc networks and other IoT-basednetworks. Such networks may operate at different frequency bands thanexisting technologies, such as mobile device 915 communicating with basestation 910 on a cellular communication band.

The communication devices 920 may form wireless networks, operating ineither a hierarchal or ad-hoc network fashion, depending, in part, onthe connection to another element of the system 900. For example, thecommunication devices 920 may utilize a 700 MHz communication frequencyto form a connection with the mobile device 915 in an unlicensedspectrum, while utilizing a licensed spectrum communication frequency toform another connection with the vehicle 945. Communication devices 920may communicate with vehicle 945 on a licensed spectrum to providedirect access for time-sensitive data, for example, data for anautonomous driving capability of the vehicle 945 on a 5.9 GHz band ofDedicated Short Range Communications (DSRC).

Vehicles 940 and 945 may form an ad-hoc network at a different frequencyband than the connection between the communication device 920 and thevehicle 945. For example, for a high bandwidth connection to providetime-sensitive data between vehicles 940, 945, a 24 GHz mmWave band maybe utilized for transmissions of data between vehicles 940, 945. Forexample, vehicles 940, 945 may share real-time directional andnavigation data with each other over the connection while the vehicles940, 945 pass each other across a narrow intersection line. Each vehicle940, 945 may be tracking the intersection line and providing image datato an image processing algorithm to facilitate autonomous navigation ofeach vehicle while each travels along the intersection line. In someexamples, this real-time data may also be substantially simultaneouslyshared over an exclusive, licensed spectrum connection between thecommunication device 920 and the vehicle 945, for example, forprocessing of image data received at both vehicle 945 and vehicle 940,as transmitted by the vehicle 940 to vehicle 945 over the 24 GHz mmWaveband. While shown as automobiles in FIG. 5, other vehicles may be usedincluding, but not limited to, aircraft, spacecraft, balloons, blimps,dirigibles, trains, submarines, boats, ferries, cruise ships,helicopters, motorcycles, bicycles, drones, or combinations thereof.

While described in the context of a 24 GHz mmWave band, it can beappreciated that connections may be formed in the system 900 in othermmWave bands or other frequency bands, such as 28 GHz, 37 GHz, 38 GHz,39 GHz, which may be licensed or unlicensed bands. In some cases,vehicles 940, 945 may share the frequency band that they arecommunicating on with other vehicles in a different network. Forexample, a fleet of vehicles may pass vehicle 940 and, temporarily,share the 24 GHz mmWave band to form connections among that fleet, inaddition to the 24 GHz mmWave connection between vehicles 940, 945. Asanother example, communication device 920 may substantiallysimultaneously maintain a 700 MHz connection with the mobile device 915operated by a user (e.g., a pedestrian walking along the street) toprovide information regarding a location of the user to the vehicle 945over the 5.9 GHz band. In providing such information, communicationdevice 920 may leverage antenna diversity schemes as part of a massiveMIMO framework to facilitate time-sensitive, separate connections withboth the mobile device 915 and the vehicle 945. A massive MIMO frameworkmay involve a transmitting and/or receiving devices with a large numberof antennas (e.g., 12, 20, 64, 128, etc.), which may facilitate precisebeamforming or spatial diversity unattainable with devices operatingwith fewer antennas according to legacy protocols (e.g., WiFi or LTE).

The base station 910 and small cell 930 may wirelessly communicate withdevices in the system 900 or other communication-capable devices in thesystem 900 having at the least a sensor wireless network, such as solarcells 937 that may operate on an active/sleep cycle, and/or one or moreother sensor devices. The base station 910 may provide wirelesscommunications coverage for devices that enter its coverages area, suchas the mobile device 915 and the drone 917. The small cell 930 mayprovide wireless communications coverage for devices that enter itscoverage area, such as near the building that the small cell 930 ismounted upon, such as vehicle 945 and drone 917.

Generally, a small cell 930 may be referred to as a small cell andprovide coverage for a local geographic region, for example, coverage of200 meters or less in some examples. This may contrasted with atmacrocell, which may provide coverage over a wide or large area on theorder of several square miles or kilometers. In some examples, a smallcell 930 may be deployed (e.g., mounted on a building) within somecoverage areas of a base station 910 (e.g., a macrocell) where wirelesscommunications traffic may be dense according to a traffic analysis ofthat coverage area. For example, a small cell 930 may be deployed on thebuilding in FIG. 5 in the coverage area of the base station 910 if thebase station 910 generally receives and/or transmits a higher amount ofwireless communication transmissions than other coverage areas of thatbase station 910. A base station 910 may be deployed in a geographicarea to provide wireless coverage for portions of that geographic area.As wireless communications traffic becomes more dense, additional basestations 910 may be deployed in certain areas, which may alter thecoverage area of an existing base station 910, or other support stationsmay be deployed, such as a small cell 930. Small cell 930 may be afemtocell, which may provide coverage for an area smaller than a smallcell (e.g., 100 meters or less in some examples (e.g., one story of abuilding)).

While base station 910 and small cell 930 may provide communicationcoverage for a portion of the geographical area surrounding theirrespective areas, both may change aspects of their coverage tofacilitate faster wireless connections for certain devices. For example,the small cell 930 may primarily provide coverage for devicessurrounding or in the building upon which the small cell 930 is mounted.However, the small cell 930 may also detect that a device has entered iscoverage area and adjust its coverage area to facilitate a fasterconnection to that device.

For example, a small cell 930 may support a massive MIMO connection withthe drone 917, which may also be referred to as an unmanned aerialvehicle (UAV), and, when the vehicle 915 enters it coverage area, thesmall cell 930 adjusts some antennas to point directionally in adirection of the vehicle 945, rather than the drone 917, to facilitate amassive MIMO connection with the vehicle, in addition to the drone 917.In adjusting some of the antennas, the small cell 930 may not support asfast as a connection to the drone 917, as it had before the adjustment.However, the drone 917 may also request a connection with another device(e.g., base station 910) in its coverage area that may facilitate asimilar connection as described with reference to the small cell 930, ora different (e.g., faster, more reliable) connection with the basestation 910. Accordingly, the system 930 may enhance existingcommunication links in providing additional connections to devices thatmay utilize or demand such links. For example, the small cell 930 mayinclude a massive MIMO system that directionally augments a link tovehicle 945, with antennas of the small cell directed to the vehicle 945for a specific time period, rather than facilitating other connections(e.g., the small cell 930 connections to the base station 910, drone917, or solar cells 937). In some examples, drone 917 may serve as amovable or aerial base station.

The wireless communications system 900 may include devices such as basestation 910, communication device 920, and small cell 930 that maysupport several connections to devices in the system 900. Such devicesmay operate in a hierarchal mode or an ad-hoc mode with other devices inthe network of system 900. While described in the context of a basestation 910, communication device 920, and small cell 930, it can beappreciated that other devices that can support several connections withdevices in the network may be included in system 900, including but notlimited to: macrocells, femtocells, routers, satellites, and RFIDdetectors.

In various examples, the elements of wireless communication system 900,such as base station 910, a mobile device 915, a drone 917,communication device 920 a small cell 930, and vehicles 940, 945, may beimplemented utilizing an integrated circuit chip as described herein.For example, the communication device 920 may be implemented with anintegrated circuit chip 102 or integrated circuit chip 702. In thelatter case, the communication device 920 may be implemented as thecommunication device 700. In various examples, the elements ofcommunication system 900 may implement any of the systems described inFIGS. 1 and 4-8 or methods described in FIGS. 2-3.

FIG. 10 illustrates an example of a wireless communications system 1000in accordance with aspects of the present disclosure. The wirelesscommunications system 1000 includes a mobile device 1015, a drone 1017,a communication device 1020, and a small cell 1030. A building 1010 alsoincludes devices of the wireless communication system 1000 that may beconfigured to communicate with other elements in the building 1010 orthe small cell 1030. The building 1010 includes networked workstations1040, 1045, virtual reality device 1050, IoT devices 1055, 1060, andnetworked entertainment device 1065. In the depicted system 1000, IoTdevices 1055, 1060 may be a washer and dryer, respectively, forresidential use, being controlled by the virtual reality device 1050.Accordingly, while the user of the virtual reality device 1050 may be indifferent room of the building 1010, the user may control an operationof the IoT device 1055, such as configuring a washing machine setting.Virtual reality device 1050 may also control the networked entertainmentdevice 1065. For example, virtual reality device 1050 may broadcast avirtual game being played by a user of the virtual reality device 1050onto a display of the networked entertainment device 1065.

The small cell 1030 or any of the devices of building 1010 may beconnected to a network that provides access to the Internet andtraditional communication links. Like the system 900, the system 1000may facilitate a wide-range of wireless communications connections in a5G system that may include various frequency bands, including but notlimited to: a sub-6 GHz band (e.g., 700 MHz communication frequency),mid-range communication bands (e.g., 2.4 GHz), and mmWave bands (e.g.,24 GHz). Additionally or alternatively, the wireless communicationsconnections may support various modulation schemes as described abovewith reference to system 900. System 1000 may operate and be configuredto communicate analogously to system 900. Accordingly, similarlynumbered elements of system 1000 and system 900 may be configured in ananalogous way, such as communication device 920 to communication device,small cell 930 to small cell 1030, etc. . . .

Like the system 900, where elements of system 900 are configured to formindependent hierarchal or ad-hoc networks, communication device 920 mayform a hierarchal network with small cell 1030 and mobile device 1015,while an additional ad-hoc network may be formed among the small cell1030 network that includes drone 1017 and some of the devices of thebuilding 1010, such as networked workstations 1040, 1045 and IoT devices1055, 1060.

Devices in communication system 1000 may also form (D2D) connectionswith other mobile devices or other elements of the system 1000. Forexample, the virtual reality device 1050 may form a narrowband IoTconnections with other devices, including IoT device 1055 and networkedentertainment device 1065. As described above, in some examples, D2Dconnections may be made using licensed spectrum bands, and suchconnections may be managed by a cellular network or service provider.Accordingly, while the above example was described in the context of anarrowband IoT, it can be appreciated that other device-to-deviceconnections may be utilized by virtual reality device 1050.

In various examples, the elements of wireless communication system 1000,such as the mobile device 1015, the drone 1017, the communication device1020, and the small cell 1030, the networked workstations 1040, 1045,the virtual reality device 1050, the IoT devices 1055, 1060, and thenetworked entertainment device 1065, may be implemented utilizing anintegrated circuit chip as described herein. For example, thecommunication device 1020 may be implemented with an integrated circuitchip 102 or integrated circuit chip 702. In an example, the IoT devices1055, 1060 may implement an integrated circuit having several processingelements like processing element 104 that is coupled to an IoT interface400 in that integrated circuit for transmitting and/or receivingcommunication packets or signals at an IoT band via the plurality ofantennas 114.

In an example, the small cell 1030 may determine prioritized routesamong the device of the building 1010. Higher prioritized routes mayinclude a cellular connection for the drone 1017 and WiFi connectionsfor the networked workstations 1040, 1045, while lower prioritizedroutes may include an IoT connection to the IoT device 1060.Consequently, a routing module 715 of the small cell 1030 may instructthe packet module 710 to specifically re-route the communication packetsfrom the networked workstation 1040 to the drone 1017 to createefficient or optimized communications. In the example, the networkedworkstation 1040 may transmit the communication packets via a firstcommunication protocol (e.g., P_(WiFi)) to the small cell 1030, and thenthe small cell 1030 may transmit the communication packets to the drone1017 via a second communication protocol (e.g., P_(cell)). Additionallyor alternatively, in a cluster of processing elements 104 that arecommunicating a processed signal to a cellular interface 112 for thesmall cell 1030 to communicate with the drone 1017, greater or fewerclusters 406 may be dynamically added or subtracted from a first set ofclusters 402 and/or a second set of clusters 404 based on system demandsor signaling volumes. For example, if a number of cellular signalsreceived by the antennas and transmitted to the a cellular interface 112increases based on additional communication signals from the drone 1017,additional clusters 406 may be added to the first set of clusters 404 tohandle the increased processing load.

While described above in the context of some specific examples of theelements of communication system 1000, the elements of communicationsystem 1000 may implement any of the systems described in FIGS. 1 and4-8 or methods described in FIGS. 2-3.

Certain details are set forth above to provide a sufficientunderstanding of described examples. However, it will be clear to oneskilled in the art that examples may be practiced without various ofthese particular details. The description herein, in connection with theappended drawings, describes example configurations and does notrepresent all the examples that may be implemented or that are withinthe scope of the claims. The terms “exemplary” and “example” as may beused herein means “serving as an example, instance, or illustration,”and not “preferred” or “advantageous over other examples.” The detaileddescription includes specific details for the purpose of providing anunderstanding of the described techniques. These techniques, however,may be practiced without these specific details. In some instances,well-known structures and devices are shown in block diagram form inorder to avoid obscuring the concepts of the described examples.

Information and signals described herein may be represented using any ofa variety of different technologies and techniques. For example, data,instructions, commands, information, signals, bits, symbols, and chipsthat may be referenced throughout the above description may berepresented by voltages, currents, electromagnetic waves, magneticfields or particles, optical fields or particles, or any combinationthereof.

Techniques described herein may be used for various wirelesscommunications systems, which may include multiple access cellularcommunication systems, and which may employ code division multipleaccess (CDMA), time division multiple access (TDMA), frequency divisionmultiple access (FDMA), orthogonal frequency division multiple access(OFDMA), or single carrier frequency division multiple access (SC-FDMA),or any a combination of such techniques. Some of these techniques havebeen adopted in or relate to standardized wireless communicationprotocols by organizations such as Third Generation Partnership Project(3GPP), Third Generation Partnership Project 2 (3GPP2) and IEEE. Thesewireless standards include Ultra Mobile Broadband (UMB), UniversalMobile Telecommunications System (UMTS), Long Term Evolution (LTE),LTE-Advanced (LTE-A), LTE-A Pro, New Radio (NR), IEEE 802.11 (WiFi), andIEEE 802.16 (WiMAX), among others.

The terms “5G” or “5G communications system” may refer to systems thatoperate according to standardized protocols developed or discussedafter, for example, LTE Releases 13 or 14 or WiMAX 802.16e-2005 by theirrespective sponsoring organizations. The features described herein maybe employed in systems configured according to other generations ofwireless communication systems, including those configured according tothe standards described above.

The various illustrative blocks and modules described in connection withthe disclosure herein may be implemented or performed with ageneral-purpose processor, a digital signal processor (DSP), anapplication-specific integrated circuit (ASIC), a field-programmablegate array (FPGA), or other programmable logic device, discrete gate ortransistor logic, discrete hardware components, or any combinationthereof designed to perform the functions described herein. Ageneral-purpose processor may be a microprocessor, but in thealternative, the processor may be any conventional processor,controller, microcontroller, or state machine. A processor may also beimplemented as a combination of computing devices (e.g., a combinationof a DSP and a microprocessor, multiple microprocessors, one or moremicroprocessors in conjunction with a DSP core, or any other suchconfiguration).

The functions described herein may be implemented in hardware, softwareexecuted by a processor, firmware, or any combination thereof. Ifimplemented in software executed by a processor, the functions may bestored on or transmitted over as one or more instructions or code on acomputer-readable medium. Computer-readable media includes bothnon-transitory computer storage media and communication media includingany medium that facilitates transfer of a computer program from oneplace to another. A non-transitory storage medium may be any availablemedium that can be accessed by a general purpose or special purposecomputer. By way of example, and not limitation, non-transitorycomputer-readable media can comprise RAM, ROM, electrically erasableprogrammable read only memory (EEPROM), or optical disk storage,magnetic disk storage or other magnetic storage devices, or any othernon-transitory medium that can be used to carry or store desired programcode means in the form of instructions or data structures and that canbe accessed by a general-purpose or special-purpose computer, or ageneral-purpose or special-purpose processor.

Also, any connection is properly termed a computer-readable medium. Forexample, if the software is transmitted from a website, server, or otherremote source using a coaxial cable, fiber optic cable, twisted pair,digital subscriber line (DSL), or wireless technologies such asinfrared, radio, and microwave, then the coaxial cable, fiber opticcable, twisted pair, DSL, or wireless technologies such as infrared,radio, and microwave are included in the definition of medium.Combinations of the above are also included within the scope ofcomputer-readable media.

Other examples and implementations are within the scope of thedisclosure and appended claims. For example, due to the nature ofsoftware, functions described above can be implemented using softwareexecuted by a processor, hardware, firmware, hardwiring, or combinationsof any of these. Features implementing functions may also be physicallylocated at various positions, including being distributed such thatportions of functions are implemented at different physical locations.

Also, as used herein, including in the claims, “or” as used in a list ofitems (for example, a list of items prefaced by a phrase such as “atleast one of” or “one or more of”) indicates an inclusive list suchthat, for example, a list of at least one of A, B, or C means A or B orC or AB or AC or BC or ABC (i.e., A and B and C). Also, as used herein,the phrase “based on” shall not be construed as a reference to a closedset of conditions. For example, an exemplary step that is described as“based on condition A” may be based on both a condition A and acondition B without departing from the scope of the present disclosure.In other words, as used herein, the phrase “based on” shall be construedin the same manner as the phrase “based at least in part on.”

From the foregoing it will be appreciated that, although specificexamples have been described herein for purposes of illustration,various modifications may be made while remaining with the scope of theclaimed technology. The description herein is provided to enable aperson skilled in the art to make or use the disclosure. Variousmodifications to the disclosure will be readily apparent to thoseskilled in the art, and the generic principles defined herein may beapplied to other variations without departing from the scope of thedisclosure. Thus, the disclosure is not limited to the examples anddesigns described herein, but is to be accorded the broadest scopeconsistent with the principles and novel features disclosed herein.

What is claimed is:
 1. A method comprising: receiving, at a firstantenna, a first signal associated with a first wireless communicationsprotocol; processing, with at least one processing element associatedwith the first wireless communication protocol, the first signal togenerate a second signal associated with a second wirelesscommunications protocol; and transmitting, at a second antenna, thesecond signal associated with the second wireless communicationsprotocol.
 2. The method of claim 1, further comprising: detecting thefirst signal at a first interface associated with the first wirelesscommunications protocol to associate the first signal with the firstwireless communications protocol; routing the first signal to a firstset of processing elements; and processing, at the first set ofprocessing elements, the first signal based on a first instruction setassociated with the first wireless communications protocol.
 3. Themethod of claim 2, further comprising: routing the second signal to asecond set of processing elements; and processing, at the second set ofprocessing elements including the at least one processing element, thesecond signal based on a second instruction set associated with thesecond wireless communications protocol to transmit the second signal.4. The method of claim 1, wherein processing the first signal togenerate the second signal comprises: allocating a first set ofprocessing elements to process the first signal based on a firstinstruction set associated with the first wireless communicationsprotocol; and allocating a second set of processing elements to processthe second signal based on a second instruction set associated with thesecond wireless communications protocol.
 5. The method of claim 4,further comprising: receiving, at the first antenna, a third signalassociated with the first wireless communication protocol; andallocating additional processing elements to the first set of processingelements to process the third signal based on the first instruction setassociated with the first wireless communications protocol.
 6. Themethod of claim 5, wherein allocating the additional processing elementsto the first set of processing elements to process the third signalcomprises reallocating a portion of the second set of processingelements to the first set of processing elements.
 7. The method of claim5, wherein allocating the additional processing elements to the firstset of processing elements to process the third signal comprisesallocating a percentage of the second set of processing elements basedon a processing load for the first signal and the third signal beingprocessed at the first set of processing elements.
 8. The method ofclaim 1, further comprising: identifying a route for the second signalbased on historic transmission characteristics associated with aplurality of devices and a route prediction for at least one device ofthe plurality of devices, wherein the second signal to be transmitted tothe at least one device.
 9. The method of claim 8, further comprising:allocating additional processing elements to the second set ofprocessing elements to process the second signal based on the historictransmission characteristics associated with the plurality of devicesand the prediction of a route for the at least one device.
 10. Themethod of claim 1, further comprising: receiving, at a third antenna, athird signal associated with a third wireless communication protocol,and determining a common communication protocol among a first devicethat transmitted the first signal and a second device that transmittedthe third signal based on available processing elements.
 11. The methodof claim 10, further comprising: allocating additional processingelements to the first set of processing elements to process the thirdsignal based on the first set of processing elements having moreavailable processing elements relative to the second set of processingelements.
 12. The method of claim 1, wherein transmitting, at the secondantenna, the second signal comprises transmitting, at the secondantenna, the second signal via the second wireless communicationsprotocol, the second wireless communications protocol different than thefirst wireless communications protocol.
 13. An apparatus comprising: aplurality of antennas operable to transmit or receive communicationpackets via a plurality of communication protocols, and an integratedcircuit chip coupled to the plurality of antennas, the integratedcircuit chip comprising: a first plurality of processing elementsconfigured to process a first plurality of communication packets basedon a first instruction set associated with a first communicationprotocol of the plurality of communication protocols; a second pluralityof processing elements configured to determine a route for the firstplurality of communication packets; a third plurality of processingelements configured to determine routing among a plurality of devices totransmit the first plurality of communication packets; and a fourthplurality of processing elements configured to generate a secondplurality of communication packets based on a second instruction setassociated with a second communication protocol of the plurality ofcommunication protocols.
 14. The apparatus of claim 13, wherein aprocessing element of the first plurality of processing elementscomprises at least one of an arithmetic logic unit (ALU), a bitmanipulation unit, a multiplication unit, an accumulation unit, an adderunit, a look-up table unit, or a memory look-up unit, or any combinationthereof.
 15. The apparatus of claim 13, further comprising: a switchconfigured to communicatively couple the first, second, third, andfourth plurality of processing elements.
 16. The apparatus of claim 15,wherein the switch configured to transfer a processed plurality ofcommunication packets to the fourth plurality of processing elements forgeneration of the second plurality of communication packets.
 17. Theapparatus of claim 13, wherein the plurality of communication protocolscomprise at least one of a cellular communication protocol, WiFi,Zigbee, Bluetooth, or a radio frequency.
 18. An apparatus comprising: afirst processor comprising at least one of an arithmetic logic unit(ALU), a bit manipulation unit, a multiplication unit, an accumulationunit, an adder unit, a look-up table unit, or a memory look-up unit, orany combination thereof, wherein the processor is configured to processa first signal associated with a first wireless communications protocol;a first memory in electronic communication with the first processor andstoring a first instruction set associated with the first wirelesscommunication protocol; and a switch configured to communicativelycouple the first processor and a second processor and configured totransfer data processed according to the first instruction set from thefirst processor to the second processor.
 19. The apparatus of claim 18,further comprising: a second memory storing a second instruction setassociated with a second wireless communication protocol, wherein thesecond processor is configured to process the data to generate a secondsignal according to the second instruction set associated with thesecond communication protocol.
 20. The apparatus of claim 19, whereinthe first processor is configured to process a third signal associatedwith the second wireless communications protocol based on the processorbeing allocated to a processing cluster associated with the secondwireless communications protocol, the processing cluster including thesecond processor.